A candidate-scoring head returns distributions for gates, routes and scores without decoding prose or JSON answers. The README compares a benchmark-trained AgentJev specialist with Jev 1.13.0 evaluated zero-shot; these use different training conditions.
agent-reasoning-mcp: Strategic BDI cognitive reasoning engine
putervision/agent-reasoning-mcp
VerifiedResearchDocumented
agent-reasoning-mcp: Strategic BDI cognitive reasoning engine for AI agents. Explore the Jev references, TypeScript source code and similar projects.
Repository description: 🧭 Strategic BDI cognitive reasoning engine for AI agents. Goal decomposition DAGs, multi-factor utility scoring, risk evaluation, and adaptive replanning over MCP.
What you can build with it
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/putervision/agent-reasoning-mcp.gitProject facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- TypeScript
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-08-22
- Last code update
- 2026-09-28
- GitHub stars
- 16
- Evidence checked
- Sep 29, 2026
- Metadata checked
- Sep 29, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
> Inspired by the typed System 1 pattern pioneered by TypeSafe's **Jev** (evaluating typed `Choice`, `Score`, and `Noul` primitives over compact state without token generation), implemented locally via in-memory LRU caches and deterministic heuristics (<2ms) without external API calls.
Evidence commit: d6d9a94f4753eab85edb651f00d0fff1974187b6
Discovered through: github-search.
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